yolo-tf2 VS Beginner-Traffic-Light-Detection-OpenCV-YOLOv3

Compare yolo-tf2 vs Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 and see what are their differences.

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yolo-tf2 Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
1 3
747 34
- -
7.6 3.2
over 1 year ago about 3 years ago
Python Python
MIT License MIT License
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yolo-tf2

Posts with mentions or reviews of yolo-tf2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning yolo-tf2 yet.
Tracking mentions began in Dec 2020.

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3

Posts with mentions or reviews of Beginner-Traffic-Light-Detection-OpenCV-YOLOv3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.
  • I made a traffic light detection program with a self-trained dataset
    2 projects | /r/computervision | 25 Feb 2021
    This is my first CV project. I made a Python program that identifies Traffic Lights in video's. The dataset I made consists of hundreds of images of Traffic lights I made myself using my Dashcam. The training was done with a Google Colab GPU.Please take a look at my project and let me know what you think! (https://github.com/initdebugs/Beginner-Traffic-Light-Detection-OpenCV-YOLOv3)

What are some alternatives?

When comparing yolo-tf2 and Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 you can also consider the following projects:

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

SkunkBooth - Text based command line webcam photobooth app

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

imagezmq - A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.

YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

onnx-tensorflow - Tensorflow Backend for ONNX

xview-yolov3 - xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.